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49:40

Causal Consistency for Large Neo4j Clusters

Posted by Jim Webber  on  Apr 07, 2017 Posted by Jim Webber  on  Apr 07, 2017

Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.

25:13

Pyh3: Scalable and High Performance Graph Visualization in 3D Hyperbolic Space

Posted by Songxiao Zhang  on  Nov 06, 2016 Posted by Songxiao Zhang  on  Nov 06, 2016

Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.

49:48

Using Clojure and Neo4j to Build a Meetup Recommendation Engine

Posted by Mark Needham  on  Sep 02, 2016 Posted by Mark Needham  on  Sep 02, 2016

Mark Needham shows how a meetup recommendation engine using Neo4j and Clojure can be built from scratch, combining content-based and collaborative filtering using Cypher and Clojure.

52:08

React Native in Production

Posted by Adam Miskiewicz  on  Apr 23, 2016 Posted by Adam Miskiewicz  on  Apr 23, 2016

Adam Miskiewicz goes beyond the React Native docs and talks about best practices for building responsive and production-ready React Native applications with Redux, Relay, and GraphQL.

32:13

Node4J: Running Node.js in a JavaWorld

Posted by Ian Bull  on  Apr 02, 2016 Posted by Ian Bull  on  Apr 02, 2016

Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.

42:23

Real-Time Fraud Detection with Graphs

Posted by Jim Webber  on  Mar 29, 2016 Posted by Jim Webber  on  Mar 29, 2016

Jim Webber talks about several kinds of fraud common in financial services and how each decomposes into a straightforward graph use-case. He explores them using Neo4j and Cypher query language.

01:26:11

Working with Databases & Groovy

Posted by Paul King  on  Jan 22, 2016 Posted by Paul King  on  Jan 22, 2016

Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.

24:57

Modeling Complex Game Economy with Neo4j

Posted by Yan Cui  on  Oct 13, 2015 Posted by Yan Cui  on  Oct 13, 2015

Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.

01:23:00

Using a Graph Database for JVM Heap Analysis

Posted by James Richardson  on  Mar 19, 2015 2 Posted by James Richardson Nat Pryce  on  Mar 19, 2015 2

James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.

01:31:01

Artistic Spring Data Neo4j 3.x with Spring Boot and Van Gogh

Posted by Michael Hunger  on  Feb 14, 2015 Posted by Michael Hunger Lorenzo Speranzoni  on  Feb 14, 2015

Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.

53:24

NoSQL Is Dead

Posted by Eric Redmond  on  Feb 06, 2015 1 Posted by Eric Redmond  on  Feb 06, 2015 1

Eric Redmond explains the differences and commonalities amongst many kinds of databases and takes a stab at the marketing term “NoSQL.”

48:03

Zen: Pinterest's Graph Storage Service

Posted by Xun Liu  on  Dec 25, 2014 Posted by Xun Liu Raghavendra Prabhu  on  Dec 25, 2014

This talk goes over the design motivation for Zen and describe its internals including the API, type system and HBase backend.

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